Title :
P3E-9 Ultrasound Speckle Detection Using Low Order Moments
Author :
Rivaz, Hassan ; Boctor, Emad M. ; Fichtinger, Gabor
Author_Institution :
Dept. of Comput. Sci., Johns Hopkins Univ., Baltimore, MD
Abstract :
Speckle detection is essential in many areas of quantitative ultrasound. In this work, speckle is characterized with R = SNR and S = skewness of the amplitude of the ultrasound signal data A. Different powers of A can be used to calculate R and S. Prager et al. [2002] proposed a method for finding the optimum power value, which then was further scrutinized [Martin-Fernandez, M and Alberola-Lopez, C, 2005]. We propose using two different powers of A in R and S, and perform a large number of computer simulations to find these optimal values
Keywords :
speckle; ultrasonic imaging; quantitative ultrasound; ultrasound speckle detection; Computer science; Computer simulation; Ellipsoids; Focusing; Image resolution; Interference; Pixel; Scattering; Speckle; Ultrasonic imaging;
Conference_Titel :
Ultrasonics Symposium, 2006. IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
1-4244-0201-8
Electronic_ISBN :
1051-0117
DOI :
10.1109/ULTSYM.2006.501
